Hi, I'm Pranamika Pandey.
A
Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving complex and challenging real-world problems.
About
I am a Bachelors graduate in Electronics and Communication Engineering
Enthusiastic and tech-driven Full Stack Developer with professional experience in Backend Development, Frontend Development and Machine Learning. I am adept in React.js, Node.js, MongoDB, Python, Django, Docker, and MySQL.
Experience
- Collaborated with team members to redesign and rebuild platform improving the customer's visit by 35%.
- Developed modular REST APIs for multiple portals of the web application.
- Improved the load carrying capacity of the web application by redefining the servers and the backend flow.
- Tools: React.js, Node.js, MongoDB, AWS, Docker, Bash, Software Testing
- Developed 50+ product features.
- Assessed UX and UI designs for technical feasibility. Recommended solutions for a streamlined, user-friendly interface for designs.
- Developed 50+ test plans and test cases, and raised testing efficiency by 31%.
- Led the team on product feature improvements with useful recommendations and collaborative debugging.
- Tools: Svelte.js, SAAS, Pug.js, HTML5, CSS3, Docker, Mocha.js, Node.js
- Collaborated with product team members to implement 30+ feature developments.
- Developed a cloud-based data visualization and analytics web application aimed at storing and visualizing data-points of each IoT devices.
- Designed and implemented a stacking model predicting the degradation of drugs and achieved 75% - 83% accuracy depending on the data for each drug.
- Tools: Python, Django, Docker, Django Rest Framework, HTML5, CSS3, Javascript, jQuery, Bootstrap, and Postgresql.
- Designed a Machine Learning pipeline for ranking and filtering posts in a user's feed as per user preferences.
- Average rank from the most accurate and efficient method was found to be 3.5. Approx. 600 users of the application found the recommendations to be useful and accurate as per their interests.
- Leveraged features include Keywords from user posts, user ratings, hashtags and tags associated with the content, user’s friends, etc.
- Tools: Python, Machine Learning, NLP, Scikit-learn, NLTK
Projects

Instagram Application

Twitter Bot built using Tweepy Library
- Tools: Python, GUI, Tweepy
- Incorporated twitter API to build a twitter bot in Python and GUI programming using Tweepy Library.
- This application would be used to follow everyone following you, favorite and Retweet a Tweet based on keywords and reply to a user based on a keyword.

A simple UI for users to chat by sending text messages to each other.
A Deep Learning project which predicts Bike Sharing Patterns.
Skills
Languages and Databases








Libraries






Frameworks






Other




Education
Gandhi Institute for Technological Advancement
Orissa, India
Degree: Bachelor of Technology in Information and Communication Technology
CGPA: 9.6/10
- Data Structures and Algorithms
- Python programming
- C++ programming
- Linux SRE Fundamentals
- Artificial Intelligence
Relevant Courseworks: